collaborators

7 papers

cs.IR2026

Enhancement of E-commerce Sponsored Search Relevancy with LLM

Md Omar Faruk Rokon, Andrei Simion, Weizhi Du +3

Sponsored search plays a crucial role as a revenue stream for search engines, wherein advertisers competitively bid on keywords that align with the users' search queries. The task…

cs.IR2026

Next-Gen Sponsored Search: Crafting the Perfect Query with Inventory-Aware RAG (InvAwr-RAG) Based GenAI

Md Omar Faruk Rokon, Weizhi Du, Zhaodong Wang +1

Sponsored search plays a crucial role in e-commerce revenue generation, where advertisers strategically bid on keywords to capture the attention of users through relevant search qu…

cs.IR2026

AutoRelAnnotator: Calibrated Model Cascades for Cost-Efficient Relevance Evaluation in Sponsored Search

Md Omar Faruk Rokon, Shasvat Desai, Hong Yao +1

How can we generate high-quality relevance annotations at scale without the cost and delays of human labeling? Relevance annotations are the backbone of search ranking systems whic…

cs.IR2026

Unified Multi-Task Relevance Modeling for E-Commerce: Comparing Task Routing Architectures Across LLMs and Cross-Encoders

Md Omar Faruk Rokon, Jhalak Nilesh Acharya, Shasvat Desai +2

How can we build a single relevance model that handles six different entity pair relationship types in e commerce from query product matching to product type similarity when each t…

cs.IR2026

Scaling Dense Retrieval with LLM-Annotated Training Data: Structured Mining and Progressive Curriculum for E-Commerce Sponsored Search

Md Omar Faruk Rokon, Shasvat Desai, Jhalak Nilesh Acharya +9

How can we generate high-quality training data for dense retrieval models at production scale, without relying on click signals or manual annotation? This question is critical for…

cs.IR2026

Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling

Shasvat Desai, Md Omar Faruk Rokon, Jhalak Nilesh Acharya +4

Modern search systems rely on a fast first stage retriever to fetch relevant items from a massive catalog of items. Deployed search systems often use user engagement signals to sup…